Utilities confront challenges to optimally plan and develop the distribution grids both for reducing their imposed costs and for satisfying the customers' electricity needs. In this paper, optimal allocation of automatic and manual sectionalizing switches as well as protective devices is performed in presence of load flexibilities. Control devices could improve the duration-based reliability indices, while protective devices could improve both duration-based and frequency-based reliability indices. In this paper, optimal incentives and penalties in the emergency demand response programs (EDRP) are determined based upon the customers' behaviors. The resulting optimization problem is then solved in 2 different scenarios: without load flexibility and incorporating EDRP. Finally, a standard reliability test system (RBTS4) is used to delineate the effectiveness of the proposed method. Furthermore, a sensitivity analysis is conducted to analyze the probability of customers' contribution in EDRP based upon the predetermined contracts.
This paper presents a comprehensive framework for the assessment of reliability and risk implications of post-fault Demand Response (DR) to provide capacity release in smart distribution networks. A direct load control (DLC) scheme is presented to efficiently disconnect DR customers with differentiated reliability levels. The cost of interrupted load is used as a proxy for the value of the differentiated reliability contracts for different customers to prioritize the disconnections. The framework tackles current distribution system operator (DSO)’s corrective actions such as network reconfiguration, emergency ratings and load shedding, also considering the physical payback effects from the DR customers’ reconnection. Sequential Monte Carlo simulation (SMCS) is used to quantify the risk borne by the DSO if contracting fewer DR customers than required by deterministic security standards. Numerical results demonstrate the benefits of the proposed DR scheme, when compared to the current DLC scheme applied from the local DSO. In addition, as a key point to boost the commercial implementation of such DR schemes, the results show how the required DR volume could be much lower than initially estimated when properly accounting for the actual risk of interruptions and for the possibility of deploying the asset emergency ratings. The findings of this work support the rationale of moving from the current prescriptive deterministic security standards to a probabilistic reliability assessment and planning approach applied to smart distribution networks, which also involves distributed energy resources such as post-contingency DR for network support.