Stochastic Flexible Power System Expansion Planning, Based on the Demand Response Considering Consumption and Generation Uncertainties

نویسندگان

چکیده

This paper presents the generation and transmission expansion planning (GTEP) considering switched capacitive banks (SCBs) allocation in power system, including demand response program (DRP). scheme is based on system flexibility. The objective function of minimizes expected cost that equaled to summation total construction costs SCBs, units (GUs) lines (TLs), operating GUs. It concerned with AC flow constraints, planning-operation model mentioned elements, DRP operation formulation, flexibility limits network. In following, scenario-based stochastic programming used uncertainty parameters, such as load renewable wind farms. Then, hybrid evolutionary algorithm, combination crow search algorithm grey wolf optimizer, determine optimal point approximate unique solution. Finally, applied networks, numerical results confirm capabilities proposed simultaneously improving flexibility, operation, economic situation network, so achieves solution a shorter computation time, compared non-hybrid algorithms. has low standard deviation about 92% final response. lines, sources, capacitor banks, together succeeded energy loss voltage by 30–36% 25–30%, those studies.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Stochastic Congestion Management Considering Power System Uncertainties

Congestion management in electricity markets is traditionally done using deterministic values of power system parameters considering a fixed network configuration. In this paper, a stochastic programming framework is proposed for congestion management considering the power system uncertainties. The uncertainty sources that are modeled in the proposed stochastic framework consist of contingencie...

متن کامل

Impact of Demand Response Technique on Hybrid Transmission expansion planning and Reactive Power planning

In this paper, a model for hybrid transmission expansion planning (TEP) and reactive power planning (RPP) considering demand response (DR) model has been presented. In this study RPP considered by TEP for its effects on lines capacity and reduction of system expansion costs. On the other hand the expansion of the transmission system is an important subject, especially dealing with the new i...

متن کامل

Security-Based Co-Expansion Planning of Gas and Electricity Networks Considering Demand Response

Coordinated expansion planning of power plants has always attracted the attention of power industry planners to arrive at the optimal mix that assures adequacy of energy supply. Here, we model the coordinates for expansion of electricity and gas networks while considering technical constraints, in order to minimize the total cost of investment and operation of electricity and gas networks for a...

متن کامل

Dynamic Planning the Expansion of Electric Energy Distribution Systems Considering Distributed Generation Resources in the Presence of Power Demand Uncertainty

In this paper, a new strategy based on a dynamic (time-based) model is proposed for expansion planning of electrical energy distribution systems, taking into account distributed generation resources and advantage of the techno-economic approach. In addition to optimal placement and capacity, the proposed model is able to determine the timing of installation / reinforcement of expansion options....

متن کامل

Toward a Smart Distribution System Expansion Planning by Considering Demand Response Resources

This paper presents a novel concept of "smart distribution system expansion planning (SDEP)" which expands the concept of demand response programs to be dealt with the long term horizon time. The proposed framework, integrates demand response resources (DRRs) as virtual distributed generation (VDG) resources into the distribution expansion planning. The main aim of this paper is to develop and ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Sustainability

سال: 2023

ISSN: ['2071-1050']

DOI: https://doi.org/10.3390/su15021099