Abstract

Electricity retailer is the most critical player in the restructured electricity market. Retailer's electricity procurement problem is a big challenge for them. Electricity retailer can purchase their energy from various options such as pool market, forward contracts, and etc. A relatively new way with a lesser investigation is the demand response exchange market. In this paper, the risk-constrained stochastic power procurement problem of electricity retailers is formulated by modeling the uncertainty of pool-market price and consumers' electricity demand. The Downside risk constraints (DRC) risk-evaluation method is used to obtain risk-based power procurement scheduling of electricity retailers. By using the proposed method, conservative electricity retailer can experience a scenario-independent strategy over the stochastic optimization. In other words, the proposed risk strategy is such that impose more cost for electricity retailer while having an equal cost in all scenarios. Based on the obtained results, the operation cost of electricity retailers in all scenarios is closed to about $4827570, which is a relatively zero-risk strategy due to equality overall scenarios. Besides, results are compared in two cases to demonstrate the advantages of the proposed risk-evaluation method. Also, the Pareto front between risk-in-cost and expected cost can introduce an optimal risk-strategy for electricity retailers in the presence of uncertainties. Finally, the risk-averse strategy of electricity retailer is proposed to obtain the retailer's optimal conservative schedule during power procurement in the presence of uncertainties.

Highlights

  • Electricity retailer is the most crucial participant in the deregulated electricity market

  • In case 2, Downside risk constraints (DRC) is applied to the electricity retailer stochastic power procurement problem, and positive results of this method are shown in Tables 2 and 3

  • Results are presented for different amounts of the risk-control parameter, which indicates the various amount of expected cost and riskin-cost

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Summary

INTRODUCTION

Electricity retailer is the most crucial participant in the deregulated electricity market. NOVELTY AND CONTRIBUTIONS Electricity retailers are faced with various risks at supplying their consumers in power procurement problem These financial risks are rooted in uncertainty imposed from the stochastic parameters such as markets price and electricity demand, etc. In the demand response exchange market, three options, such as pool-order DR, forward-DR contracts, and reward-based DR programs, are used Another is implementing a powerful risk-management approach to manage financial risks. Various scenario-based stochastic programming methods have been used widely in uncertainty modeling problems In these problems, the valueat-risk (VaR) and CVaR are widely used to evaluate the financial risk. Use of downside risk constraints for the retailer’s decision-making problem in the DRX market to measure the financial risks in stochastic programming. Risk-based operation of retailers in the presence of market and DRX options derived from DRC by proposing a risk-averse strategy and risk-neutral strategy respectively for conservative and risky retailers

PAPER STRUCTURE The remainder of this paper is structured as follows
PROBLEM FORMULATION
POWER BALANCE AND OBJECTIVE FUNCTION
NUMERICAL RESULTS
CONCLUSION
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