An MILP Formulation for Load-Side Demand Control
نویسندگان
چکیده
This paper presents a mixed integer linear programming formulation for load-side control of electrical energy demand. The formulation utilizes demand prediction to determine if control actions are necessary, and it schedules both shedding and restoration times based on an optimization model that minimizes the net cost of load shedding. Operational constraints are satisfied through the use of minimum/maximum uptimes/downtimes, which depend upon the current state of the system. The algorithm is evaluated using a simulation model of an underground coal mining operation where, (i) its performance is compared with a traditional static, prioritybased, load-shedding schedule, and, (ii) its potential is established for producing net savings through demand control.
منابع مشابه
Optimal Operation of Microgrids Under Demand Side Management
One of the major problem in the optimal operation of the power system is optimal operation of microgrid with regard to the Demand-side-management. From one side, demand-side-management programs reduce the operating costs of the power system and on the other hand, the implementation of these programs requires a financial incentive policies. In this paper, optimal operation of microgrid with dem...
متن کاملOptimal Scheduling of Domestic Appliances via MILP
This paper analyzes a consumption scheduling mechanism for domestic appliances within a home area network. The aim of the proposed scheduling is to minimize the total energy price paid by the consumer and to reduce power peaks in order to achieve a balanced daily load schedule. An exact and computationally efficient mixed-integer linear programming (MILP) formulation of the problem is presented...
متن کاملMILP Formulation for Islanding of Power Networks
In this paper, a mathematical formulation for the islanding of power networks is presented. Given an area of uncertainty in the network, the proposed approach uses mixed integer linear programming to isolate unhealthy components of the network and create islands, by (i) cutting lines, (ii) shedding loads and (iii) switching generators, while maximizing load supply. A key feature of the new meth...
متن کاملEnterprise-wide Optimization for Industrial Demand Side Management
In the light of increasing volatility in electricity price and availability, demand side management (DSM), which refers to the active management of electricity consumption, has become crucial for the economic performance of power-intensive industries. Due to its time-sensitive nature, DSM is a challenge for industrial plants; however, it can also be an opportunity if sufficient process flexibil...
متن کاملMILP Formulation and Genetic Algorithm for Non-permutation Flow Shop Scheduling Problem with Availability Constraints
In this paper, we consider a flow shop scheduling problem with availability constraints (FSSPAC) for the objective of minimizing the makespan. In such a problem, machines are not continuously available for processing jobs due to preventive maintenance activities. We proposed a mixed-integer linear programming (MILP) model for this problem which can generate non-permutation schedules. Furthermor...
متن کامل