Optimal Electricity Demand Response Contracting with Responsiveness Incentives

نویسندگان

چکیده

Demand response programs in retail electricity markets are very popular. However, despite their success reducing average consumption, the random responsiveness of consumers to price events makes efficiency questionable achieve flexibility needed for electric systems with a large share renewable energy. This paper aims at designing demand contracts that allow act on both consumption and its variance. The interaction between risk-averse producer consumer is modelled as principal–agent problem, thus accounting moral hazard underlying contracts. producer, facing limited production, pays an appropriate incentive compensation encourage reduce his enhance responsiveness. We provide closed-form solution optimal contract linear case. show has rebate form where initial condition serves baseline charged energy volatility. first-best convex combination marginal cost value energy, weights given by risk-aversion ratios, volatility ratio times second-best price, volatility, decreasing nonlinear function time inducing effort. lower (respectively, higher) than during peak-load off-peak) periods. illustrate potential benefits issued from implementation mechanism calibrating our model publicly available data.

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

Characterizing the Optimal Incentives for Pervasive Demand Response

While Demand Response (DR) has been focused on large and industrial consumers, pervasive implementation (by including residential consumers) is needed to maximize its potential. This paper presents analyses from the economics perspective of pervasive, incentive-based DR, and consider cases whether (1) DR is used to encourage consumers to decrease or increase their demand, and (2) utility compan...

متن کامل

Customer Load Strategies for Demand Response in Bilateral Contracting of Electricity

Electricity markets are systems for affecting the purchase and sale of electricity using supply and demand to set energy prices. Electricity can be traded in organized markets or by negotiating forward bilateral contracts. Demand response (DR) refers to participation by customers in electricity markets, seeing and responding to prices as they change over time. Customers may adopt several basic ...

متن کامل

Stochastic Optimization of Demand Response Aggregators in Wholesale Electricity Markets

This paper proposes a stochastic framework for demand response (DR) aggregator to procure DR from customers and sell it to purchasers in the wholesale electricity market. The aggregator assigns fixed DR contracts with customers based on three different load reduction strategies. In the presented problem the uncertainty of market price is considered and the risk of aggregator participation is ma...

متن کامل

Crowdsourcing Behavioral Incentives for Pervasive Demand Response

1 Introduction Demand response (DR) refers to a set of dynamic demand mechanisms that aim to manage electricity consumption in response to supply-side signals. DR can be used for the purpose of demand regulation (e.g. to maintain voltage and frequency within safety limits) as well as for energy balance (e.g. to shift demand to off-peak periods, to curtail demand during emergency situations, or ...

متن کامل

Risk, Incentives, and Contracting Relationships

The aim of this paper is to understand the impact of optimal provision of both risk and incentives on the choice of contracting partners. I study a risky setting where heterogeneously risk-averse employers and employees must match to be productive. They face a standard onesided moral hazard problem: mean output increases in the noncontractible input of the employee. Better insurance comes at th...

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: Mathematics of Operations Research

سال: 2022

ISSN: ['0364-765X', '1526-5471']

DOI: https://doi.org/10.1287/moor.2021.1201